Publications

1. Bantchina, B.B. & Gündoğdu, K.S. 2024. Machine Learning-Based Maize (Zea mays L.) Extraction at Parcel Level Using Sentinel 2A-Derived Spectral Indices. Journal of Applied Remote Sensing, 18(3), 034515. DOI

2. Bantchina, B.B. Qaswar, M., Arslan, S., Ulusoy, Y., Gündoğdu, K.S., Tekin, Y., & Mouazen, A.M. 2024. Corn Yield Prediction in Site-Specific Management Zones Using Proximal Soil Sensing, Remote Sensing, and Machine Learning Approach. Computers and Electronics in Agriculture, 255, 109329. DOI

3. Bantchina, B.B. & Gündoğdu, K.S. 2024. Crop Type Classification using Sentinel 2A-Derived Normalized Difference Red Edge Index (NDRE) and Machine Learning Approach. Journal of Agricultural Faculty of Bursa Uludağ University, 38(1), 89–105. DOI

4. Bantchina, B.B., Gündoğdu, K.S., Arslan, S., Ulusoy, Y., Tekin, Y., Pantazi, X.E., Dolaptsis, K., Paraskevas, C., Tziotzios, G., Qaswar, M., & Mouazen, A.M. 2024. Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize. Soil Systems, 8(1), 19. DOI

5. Dolaptsis, K., Pantazi, X.E., Paraskevas, C., Tekin, Y., Arslan, S., Bantchina, B.B., Ulusoy, Y., Gündoğdu, K.S., Qaswar, M., Bustan, D., & Mouazen, A.M. 2024. Α Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop. Agriculture, 14(2), 210. DOI

6. Arslan, S., Bantchina, B.B., Taşdelen M.K., Salı, N., Tekin Y., & Mouazen, A.M. 2023. Water Distribution Uniformity of Nozzles for a Hose Reel Irrigation Machine. Water Distribution Uniformity of Nozzles for a Hose Reel Irrigation Machine. Proceedings of 5th International Congress on Agricultural Mechanization and Energy in Agriculture, Abstract Book p51, October 29-November 1, 2023 – Antalya, Turkey.

7. Bantchina, B.B. & Gündoğdu, K.S. 2022. Watershed Characteristics and Synthetic Unit Hydrographs Determination using Geographical Information Systems. Journal of Biological and Environmental Sciences (JBES), 15(45), 27-34.

8. Gündoğdu, K.S., & Bantchina, B.B. 2018. Parcel-Based Evaluation of NDVI Values Distribution from Landsat Satellite Images. A Case Study of Uludağ University, Faculty of Agriculture farm. Journal of Agricultural Faculty of Bursa Uludağ University, 32(2), 45-53.

9. Bantchina, B.B., Mucan, U., & Gündoğdu, K.S. 2017. Land Availability Analysis in Bursa using Geographic Information Systems. In Proceedings Book, Proceedings of the 5th International Participation Soil and Water Resources Congress, Kırklareli, Turkey, 12-15 September 2017; Atatürk Soil Water and Agricultural Meteorology Research Institute Kırklareli Merkez, Turkey, 2017; Volume 1, pp. 65-74.

Papers Submitted for Publication

1. Tekin, Y., Arslan, S., Bantchina, B.B., Ulusoy, Y., Gündoğdu, K.S., Steiger, A., Bill, R., Grenzdörffer, G., Qaswar, M., Bustan, D., Bıçaklar, S., Akaltun, O., & Mouazen, A.M.(In review). Development of an Automated Hose-Reel Variable Rate Fertigation Machine. Computers and Electronics in Agriculture. Preprint available at SSRN: DOI